library(tidyverse)
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## v readr 1.3.1 v forcats 0.5.0
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library(dplyr)
library(png)
library(grid)
library(scales)
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## discard
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library(forcats)
library(mapview)
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library(sf)
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library(ggmap)
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## Google's Terms of Service: https://cloud.google.com/maps-platform/terms/.
## Please cite ggmap if you use it! See citation("ggmap") for details.
library(lubridate)
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# Get the Data
volcano <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-05-12/volcano.csv')
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## cols(
## .default = col_character(),
## volcano_number = col_double(),
## latitude = col_double(),
## longitude = col_double(),
## elevation = col_double(),
## population_within_5_km = col_double(),
## population_within_10_km = col_double(),
## population_within_30_km = col_double(),
## population_within_100_km = col_double()
## )
## See spec(...) for full column specifications.
eruptions <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-05-12/eruptions.csv')
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## volcano_number = col_double(),
## volcano_name = col_character(),
## eruption_number = col_double(),
## eruption_category = col_character(),
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## vei = col_double(),
## start_year = col_double(),
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## end_year = col_double(),
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## )
events <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-05-12/events.csv')
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## volcano_number = col_double(),
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## event_date_year = col_double(),
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tree_rings <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-05-12/tree_rings.csv')
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sulfur <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-05-12/sulfur.csv')
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volcano_plus_eruptions <- volcano %>%
left_join(by = "volcano_number", eruptions) %>%
filter(!is.na(start_year), !is.na(start_day), !is.na(end_day))%>%
mutate(start_date = make_date(start_year, start_month, start_day),
end_date = make_date(end_year,end_month, end_day)) %>%
filter(!is.na(start_date),
!is.na(end_date))%>%
mutate(duration = end_date - start_date)
volcano %>%
group_by(region) %>%
summarise(n = n())%>%
arrange(desc(n)) %>%
ggplot(aes(x = reorder(region, n), y = n)) +
geom_bar(stat = "identity") +
geom_text(aes(label = n), check_overlap = TRUE, nudge_y = 3) +
labs(title = "Number of volcanos by region") +
xlab("Name of region") +
ylab("number of volcanos")+
coord_flip()
volcano %>% ggplot(aes(x = major_rock_1)) + geom_bar() + facet_wrap(~region
) + coord_flip() + theme_classic()
volcano %>% filter(last_eruption_year != "Unknown")%>% ggplot(aes(y = population_within_10_km, x= as.integer(last_eruption_year), color = region)) + geom_point() + geom_smooth(method = lm, se = FALSE) + scale_y_log10() + xlab("last eruption year")
## Warning: Transformation introduced infinite values in continuous y-axis
## Warning: Transformation introduced infinite values in continuous y-axis
## `geom_smooth()` using formula 'y ~ x'
## Warning: Removed 129 rows containing non-finite values (stat_smooth).
volcano %>%
st_as_sf(coords = c("longitude", "latitude"), crs =4326) %>%
mapview(zcol = "last_eruption_year", legend = TRUE, cex = "population_within_10_km")
volcano %>%
st_as_sf(coords = c("longitude", "latitude"), crs =4326) %>%
mapview(zcol = "major_rock_1")
volcano %>%
st_as_sf(coords = c("longitude", "latitude"), crs =4326) %>%
mapview(zcol = "major_rock_2")
volcano %>%
st_as_sf(coords = c("longitude", "latitude"), crs =4326) %>%
mapview(zcol = "major_rock_3")